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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: bart-large-cnn-samsum |
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results: |
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- task: |
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type: summarization |
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name: Summarization |
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dataset: |
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name: 'SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization' |
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type: samsum |
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metrics: |
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- type: rogue-1 |
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value: 43.6283 |
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name: Validation ROGUE-1 |
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- type: rogue-2 |
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value: 19.3096 |
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name: Validation ROGUE-2 |
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- type: rogue-l |
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value: 41.2140 |
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name: Validation ROGUE-L |
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--- |
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# bart-large-cnn-samsum |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.755 |
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- Rouge1: 43.6283 |
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- Rouge2: 19.3096 |
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- Rougel: 41.2140 |
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- Rougelsum: 37.2590 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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```python |
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from transformers import pipeline |
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summarizer = pipeline("summarization", model="AdamCodd/bart-large-cnn-samsum") |
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conversation = '''Sugi: I am tired of everything in my life. |
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Tommy: What? How happy your life is! I do envy you. |
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Sugi: You don't know that I have been overprotected by my mother these years. I am really about to leave the family and spread my wings. |
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Tommy: Maybe you are right. |
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''' |
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summarizer(conversation) |
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``` |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 1270 |
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- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 150 |
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- num_epochs: 1 |
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### Training results |
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| key | value | |
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| --- | ----- | |
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| eval_rouge1 | 43.6283 | |
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| eval_rouge2 | 19.3096 | |
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| eval_rougeL | 41.2140 | |
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| eval_rougeLsum | 37.2590 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch lightning 2.0.9 |
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- Tokenizers 0.13.3 |
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